🍻 cheers

README.md

@@ -3,6 +3,7 @@ library_name: transformers
 license: apache-2.0
 base_model: microsoft/swin-base-simmim-window6-192
 tags:
+- image-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -17,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # swin-CEMEDE-og
 
-This model is a fine-tuned version of [microsoft/swin-base-simmim-window6-192](https://huggingface.co/microsoft/swin-base-simmim-window6-192) on an unknown dataset.
+This model is a fine-tuned version of [microsoft/swin-base-simmim-window6-192](https://huggingface.co/microsoft/swin-base-simmim-window6-192) on the cemede dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0976
-- Accuracy: 0.8041
-- F1: 0.7406
+- Loss: 0.8707
+- Accuracy: 0.8018
+- F1: 0.7127
 
 ## Model description
 

all_results.json

@@ -1,14 +1,14 @@
 {
-    "epoch": 2.194907813871817,
-    "eval_accuracy": 0.7229941730165845,
-    "eval_f1": 0.5582927591769999,
-    "eval_loss": 1.2531871795654297,
-    "eval_runtime": 8.6929,
-    "eval_samples_per_second": 256.647,
-    "eval_steps_per_second": 32.095,
-    "total_flos": 1.1504674587579679e+18,
-    "train_loss": 0.8318054886817932,
-    "train_runtime": 682.7331,
-    "train_samples_per_second": 66.681,
-    "train_steps_per_second": 8.341
+    "epoch": 3.6104114189756507,
+    "eval_accuracy": 0.8018390804597701,
+    "eval_f1": 0.7127286078748517,
+    "eval_loss": 0.870729923248291,
+    "eval_runtime": 9.0068,
+    "eval_samples_per_second": 241.485,
+    "eval_steps_per_second": 30.2,
+    "total_flos": 1.9796720891696824e+18,
+    "train_loss": 0.6192894010661646,
+    "train_runtime": 1098.5876,
+    "train_samples_per_second": 86.702,
+    "train_steps_per_second": 10.841
 }

eval_results.json

@@ -1,9 +1,9 @@
 {
-    "epoch": 2.194907813871817,
-    "eval_accuracy": 0.7229941730165845,
-    "eval_f1": 0.5582927591769999,
-    "eval_loss": 1.2531871795654297,
-    "eval_runtime": 8.6929,
-    "eval_samples_per_second": 256.647,
-    "eval_steps_per_second": 32.095
+    "epoch": 3.6104114189756507,
+    "eval_accuracy": 0.8018390804597701,
+    "eval_f1": 0.7127286078748517,
+    "eval_loss": 0.870729923248291,
+    "eval_runtime": 9.0068,
+    "eval_samples_per_second": 241.485,
+    "eval_steps_per_second": 30.2
 }

runs/Aug30_15-35-48_nukwa-04.cnca/events.out.tfevents.1756590881.nukwa-04.cnca.882326.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9558106bda7afc43f01070c245db398e80ea01fa1da34a70d77df27cab43ab58
+size 457

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 2.194907813871817,
-    "total_flos": 1.1504674587579679e+18,
-    "train_loss": 0.8318054886817932,
-    "train_runtime": 682.7331,
-    "train_samples_per_second": 66.681,
-    "train_steps_per_second": 8.341
+    "epoch": 3.6104114189756507,
+    "total_flos": 1.9796720891696824e+18,
+    "train_loss": 0.6192894010661646,
+    "train_runtime": 1098.5876,
+    "train_samples_per_second": 86.702,
+    "train_steps_per_second": 10.841
 }